| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 8JMKD3MGPBW34M/38699DS |
| Repository | sid.inpe.br/sibgrapi/2010/08.28.17.55 |
| Last Update | 2010:08.28.17.55.22 (UTC) administrator |
| Metadata Repository | sid.inpe.br/sibgrapi/2010/08.28.17.55.22 |
| Metadata Last Update | 2022:06.14.00.06.47 (UTC) administrator |
| DOI | 10.1109/SIBGRAPI.2010.13 |
| Citation Key | BrandoliElePauMinESB:2010:ViDaEx |
| Title | Visual Data Exploration to Feature Space Definition  |
| Format | Printed, On-line. |
| Year | 2010 |
| Access Date | 2024, May 04 |
| Number of Files | 1 |
| Size | 3942 KiB |
| 2. Context | |
| Author | 1 Brandoli, Bruno 2 Eler, Danilo Medeiros 3 Paulovich, Fernando 4 Minghim, Rosane 5 ESB Neto, João do |
| Affiliation | 1 ICMC - University of São Paulo 2 ICMC - University of São Paulo 3 ICMC - University of São Paulo 4 ICMC - University of São Paulo 5 ICMC - University of São Paulo |
| Editor | Bellon, Olga Esperança, Claudio |
| Conference Name | Conference on Graphics, Patterns and Images, 23 (SIBGRAPI) |
| Conference Location | Gramado, RS, Brazil |
| Date | 30 Aug.-3 Sep. 2010 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| History (UTC) | 2010-10-01 04:19:37 :: brunobrandoli -> administrator :: 2010 2022-06-14 00:06:47 :: administrator -> :: 2010 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | isual Feature Space Analysis Feature Space Visualization Feature Space Evaluation Visual Exploration |
| Abstract | ABSTRACT: Many image-related applications rely on the fact that the dataset under investigation is correctly represented through features. However, defining a set of features that properly represents a dataset is still a challenging and, in most cases, an exhausting task. Most of the available techniques, especially when a large number of features is considered, are based on purely quantitative statistical measures or approaches based on artificial intelligence, and normally are "black-boxes" to the user. The approach proposed here seeks to open this "black-box" by means of visual representations, enabling users to get insight about the meaning and representativeness of the features computed from different feature extraction algorithms and sets of parameters. The results show that, as the combination of sets of features and changes in parameters improves the quality of the visual representation, the accuracy of the classification using the defined set of features also improves. The results strongly suggest that our approach can be successfully employed as a guidance to defining and understanding a set of features that properly represents an image dataset. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Visual Data Exploration... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Visual Data Exploration... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/38699DS |
| zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/38699DS |
| Language | en |
| Target File | 70614_2.pdf |
| User Group | brunobrandoli |
| Visibility | shown |
| 5. Allied materials | |
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
| Next Higher Units | 8JMKD3MGPEW34M/46SJT6B 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.20.21 6 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |